基于深度学习的医疗影像识别技术研究综述  

Research review of medical image recognition technology based on deep learning

作　　者：张琦 张荣梅[1] 陈彬 ZHANG Qi;ZHANG Rong-mei;CHEN Bin(School of information technology,Hebei University of Economics and Business,Shijiazhuang Hebei 050061,China)

机构地区：[1]河北经贸大学信息技术学院,河北石家庄050061

出　　处：《河北省科学院学报》2020年第3期1-8,共8页Journal of The Hebei Academy of Sciences

摘　　要：本文综述了基于深度学习的医疗影像识别技术的发展历程,介绍了几种用于医疗影像识别的深度模型,并讨论了深度学习在医疗影像增强、医疗影像检测、医疗影像分割以及医疗影像识别四个方面的应用,最后分析了医疗影像识别技术存在的问题及展望。This paper summarizes the development of medical image recognition technology which was used in deep learning,introduces the depth models for identification of the medical imaging,and discusses the application of medical image enhancement,medical image detection,image segmentation,and medical image recognition used in deep learning,and finally analyzes the existing problems and prospects of medical image recognition technology.

关 键 词：医疗影像识别 深度学习 图像增强 图像检测 图像分割 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TP18[自动化与计算机技术—计算机科学与技术]